SWUN_1 Computer Vision Project

Here are a few use cases for this project:

1. Retail Inventory Management: This model can be used in retail stores and supermarkets to track and manage inventory levels of product categories listed. It can identify when products like canned drinks, bottled drinks or instant noodles are running low and automatically notify the stock management system.

2. Recycling Management: It can help in automated waste sorting facilities to accurately recognize different types of waste such as paper, roll paper, cans, and bottles, facilitating efficient and effective recycling processes.

3. Smart Vending Machines: This model can be implemented in smart vending machines to identify the stocked products and maintain an accurate sitemap of available items.

4. Smart Refrigerator Applications: Appliances like smart refrigerators can use the SWUN_1 model to identify and track the type of food items stored and their quantities. It could remind users to repurchase certain items when running low or suggest recipes based on available items.

5. Assistance for Visually Impaired: This model could be integrated into visual assistance apps for visually impaired individuals, helping them identify everyday items such as bottled drinks, chips, or fruits. The app would be able to tell the user what item they're touching or point towards in real-time.